Undergraduate or Master's degree in quantitative field or construction management.
2+ years of quantitative data analysis and problem-solving in construction.
Proficiency in SQL and Python; experience with data visualization tools like Quicksight, Power BI, or Tableau.
2+ years of experience in the construction industry.
Strong interpersonal and communication skills.
Responsibilities
Understand customer decision-making and identify influencing data.
Analyze data structures from construction systems or public data.
Set up customer dashboards and reconfigure business processes.
Identify and suggest potential data sources for decision-making.
Consult with customers on leveraging data via the Gryps platform.
Document data workflows, structures, and procedures for customer systems.
Develop and run advanced analytics using Jupyter Notebook and Python.
Benefits
Competitive compensation.
Flexible paid time off.
Medical, dental, and vision benefits.
Flexible career path.
Direct influence on product and company roadmap.
Full Job Description
Must Haves
Have an undergraduate or Master's degree in a quantitative field (e.g., mathematics, engineering, statistics, or similar) or construction management
2+ years of work experience involving quantitative data analysis and complex problem-solving in construction
Proficiency in SQL and Python, along with experience using Quicksight, Power BI, Tableau, Jupyter Notebook, or other data visualization and exploration tools
Have 2+ years of construction industry experience
Possess excellent interpersonal and communication skills
Are curious, a great listener, and enjoy working with customers to find data-driven ways to support decision-making
You would love your job if you:
Are customer-obsessed and love helping people apply AI in their workflows
Are looking to join a small team and grow with it
Get excited by creating new processes, working with data, and innovating data applications
Are intrigued by how AI and RPA will change the construction industry
Love collaborating across teams to solve problems
Want to grow your career in customer success, data analytics, data science, or machine learning
Are passionate about disrupting the construction industry with technology
Are a fast learner or have a deep understanding of technology systems in the construction industry
Love working with data to uncover patterns and insights
What you'll be doing:
Understanding customer decision-making and identifying data that can influence those decisions
Analyzing data structures from construction systems or public data sources
Setting up customer dashboards, reconfiguring business processes, or leading whiteboard sessions to map out customer data use
Identifying and proposing potential data sources that could support customer decision-making
Consulting with customers on how to leverage their data via the Gryps platform
Documenting data workflows, data policies, structures, standards, and procedures for customer systems
Developing and running advanced descriptive, predictive, and prescriptive analytics using Jupyter Notebook and Python
Gathering feedback on current Gryps use cases and identifying new opportunities
We recognize you as an early joiner by:
Competitive compensation
Flexible paid time off
Medical, dental, and vision benefits
Flexible career path
Direct influence on our product and company roadmap
